Truva
Sr Machine Learning Engineer - Gen AI
Truva, San Francisco, California, United States, 94199
About The Role
We are in search of a Senior LLM ML Engineer who is passionate about driving innovation in generative AI and machine learning. The ideal candidate is someone deeply entrenched in the text domain, experienced in melding the capabilities of LLMs with traditional NLP algorithms to push the boundaries of what's possible in generative asset creation and game development. In this role, you'll work alongside our founders and a distinguished team comprised of Forbes 30 under 30 entrepreneurs, Stanford engineers, and Berkeley MBA graduates, all of whom have over a decade of experience in leading roles across the tech industry.What You’ll Do
Generative Asset Creation : Conduct ongoing research into cutting-edge methods for generating text-based content.
LLM Integration : Leverage the full potential of large language models, integrating them with conventional NLP techniques to innovate new applications and solutions.
Experimentation with Prompt and RAG Approaches : Experiment with prompt engineering and Retrieval-Augmented Generation techniques to enhance model performance and output relevancy.
Model Strategy Development : Experiment with various models to identify the most effective strategies for deploying different models across diverse business use cases, ensuring optimal outcomes and efficiency.
Trend Analysis : Stay updated with the latest trends in generative deep learning methods, ensuring Truva remains at the cutting edge of technological advancements.
What You Will Need
Advanced Knowledge in Machine Learning : Deep understanding of machine learning, NLP, and generative models, especially LLMs.
Programming Proficiency : Expertise in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
Research and Development : Strong background in conducting research and implementing findings into practical solutions.
Problem Solving : Exceptional ability to solve complex problems creatively and efficiently.
Communication : Excellent command of English, capable of articulating complex concepts clearly and effectively.
Collaboration : Proven track record of working effectively in team environments, contributing to innovative product development.
Hybrid Work Competence : This is a hybrid role, requiring to work on-site at least 3 days a week.
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We are in search of a Senior LLM ML Engineer who is passionate about driving innovation in generative AI and machine learning. The ideal candidate is someone deeply entrenched in the text domain, experienced in melding the capabilities of LLMs with traditional NLP algorithms to push the boundaries of what's possible in generative asset creation and game development. In this role, you'll work alongside our founders and a distinguished team comprised of Forbes 30 under 30 entrepreneurs, Stanford engineers, and Berkeley MBA graduates, all of whom have over a decade of experience in leading roles across the tech industry.What You’ll Do
Generative Asset Creation : Conduct ongoing research into cutting-edge methods for generating text-based content.
LLM Integration : Leverage the full potential of large language models, integrating them with conventional NLP techniques to innovate new applications and solutions.
Experimentation with Prompt and RAG Approaches : Experiment with prompt engineering and Retrieval-Augmented Generation techniques to enhance model performance and output relevancy.
Model Strategy Development : Experiment with various models to identify the most effective strategies for deploying different models across diverse business use cases, ensuring optimal outcomes and efficiency.
Trend Analysis : Stay updated with the latest trends in generative deep learning methods, ensuring Truva remains at the cutting edge of technological advancements.
What You Will Need
Advanced Knowledge in Machine Learning : Deep understanding of machine learning, NLP, and generative models, especially LLMs.
Programming Proficiency : Expertise in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
Research and Development : Strong background in conducting research and implementing findings into practical solutions.
Problem Solving : Exceptional ability to solve complex problems creatively and efficiently.
Communication : Excellent command of English, capable of articulating complex concepts clearly and effectively.
Collaboration : Proven track record of working effectively in team environments, contributing to innovative product development.
Hybrid Work Competence : This is a hybrid role, requiring to work on-site at least 3 days a week.
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